PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?periodical ?periodicalLabel ( GROUP_CONCAT( DISTINCT ?typeLabel ; separator = ", " ) AS ?types ) ( GROUP_CONCAT( DISTINCT ?languageProp ; separator = ", " ) AS ?languageProps ) WHERE {
  VALUES ?lang {
    wd:Q143
  }
  VALUES ?type {
    wd:Q1002697 wd:Q36784 wd:Q11032 wd:Q561794 wd:Q41298 wd:Q5633421
  }
  ?periodical wdt:P31 ?type .
  {
    ?periodical wdt:P364 ?lang .
    BIND( "P364" as ?languageProp )
  } UNION {
    ?periodical wdt:P407 ?lang .
    BIND( "P407" as ?languageProp )
  }
  OPTIONAL {
    ?periodical rdfs:label ?periodicalLabel FILTER ( LANG( ?periodicalLabel ) = "en" )
  }
  OPTIONAL {
    ?type rdfs:label ?typeLabel FILTER ( LANG( ?typeLabel ) = "en" )
  }
}
GROUP BY ?periodical ?periodicalLabel
ORDER BY ?periodicalLabel

I ran the query on Wikidata and found 310 distinct items that are instances of periodical/magazine/newspaper/serial/journal and have either 'language' (P364) or 'language of work or name' (P407) set to Esperanto (wd:Q143). The query returns the item IRIs, English labels when available, their types, and which property (P364 or P407) was used to indicate Esperanto.

Which periodicals have a primary language of Esperanto?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which periodicals have a primary language of Esperanto?

[Assistant] I will first search for the Wikidata item for the Esperanto language, then find properties used to state the language of periodicals, and finally query for periodicals whose primary language is Esperanto. I'll explain each step and show intermediate queries. I'll start by searching for the Esperanto language item.

[Tool]
Top 10 entity alternatives:
1. Esperanto, also known as epo, Esperanto language, eo (wd:Q143): international auxiliary language designed by L. L. Zamenhof, instance of international auxiliary language, instance of a posteriori language, instance of constructed language, instance of planned language, instance of modern language
2. Esperanto (wd:Q608836): official magazine of the World Esperanto Association (UEA), instance of periodical
3. Esperanto (wd:Q5398868): instance of rock band, Belgo-English band
4. Esperanto, also known as Esperanto.4733 (wd:Q15734339): instance of computer virus, computer virus
5. Esperanto (wd:Q3733094): 1993 debut studio album by Elektric Music, instance of album
6. Esperanto (wd:Q10489150): instance of Zamenhof-Esperanto object, restaurant in Stockholm, Sweden, instance of restaurant
7. Esperanto (wd:Q5398858): US-American fishing schooner, instance of schooner
8. Esperanto (wd:Q23012159): album by Freundeskreis, instance of album
9. Esperanto (wd:Q12347414): instance of ship, Spanish ship
10. Esperanto (wd:Q11290111): album by Ryuichi Sakamoto, instance of album

[Assistant] Next I'll search for the Wikidata item for 'periodical' to filter items that are periodicals.

[Tool]
Top 10 entity alternatives:
1. periodical, also known as periodical literature, periodicals, periodical publication (wd:Q1002697)
2. Periodical (wd:Q103961464): instance of encyclopedia article, encyclopedia article
3. Periodical, also known as Journal, Magazine, Publication, Cartoon mag, Cartoon Magazine (wd:Q67520005): a monthly cartoon publication, instance of publication, instance of magazine, instance of project, instance of ebook
4. periodicals, also known as periodical, periodicals as topic (wd:Q131470059)
5. periodical (wd:L727823-S1)
6. periodical (wd:L339209-F1)
7. periodical (wd:L339209)
8. periodical (wd:L325294-F1)
9. periodical (wd:L325294)
10. article, also known as journal article, serial article, periodical article (wd:Q191067)

[Assistant] I'll search for the property that indicates the language of a periodical. Common properties are 'language of work or name' (P407) and 'language' (P364). For publications, 'language of work or name' (P407) is often used for works; 'language' (P364) might be used for publication language. I'll search for both properties.

[Tool]
Top 10 property alternatives:
1. language of work or name, also known as used language, named in language, language of work, language of website, language of URL (wd:P407 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
2. creator's signature, also known as pinxit, sculpsit, signature of artist on work, signature on work, artist's signature on work (wd:P7457 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): image of the artist's mark on the work that identifies their work, subproperty of inscription image, subproperty of image
3. name in native language, also known as native name (wd:P1559 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): name of a person in their native language, subproperty of name
4. native label, also known as official name, original title, official title, original label, original language label (wd:P1705 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): label for the items in their official language  or their original language, subproperty of name
5. working title, also known as code name, codename, production name, production title, working name (wd:P1638 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): temporary name of a product or project used during its development
6. professional name (wd:P2838 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): name passed down by generation assumed by a master of a traditional Japanese art or sport such as kabuki or sumo
7. writing language, also known as languages for writing, writing languages, language written, languages written, languages of writings (wd:P6886 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language in which the writer has written their work, subproperty of languages spoken, written or signed
8. languages spoken, written or signed, also known as language written, wrote language, writes language, uses language, used language (wd:P1412 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language(s) that a person or a people speaks, writes or signs, including the native language(s)
9. language used, also known as working languages, working language, used language, uses language, medium of instruction (wd:P2936 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language widely used (spoken or written) in this place or at this event or organisation
10. stylized name, also known as stylized as, stylised name, stylised as (wd:P9989 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): a widely used but non-standard form of a name (rather than a different name entirely or a pseudonym), subproperty of name

[Assistant] I'll search for the property "language" (P364) and confirm usage for publications. I'll also look for examples of periodicals that use this property.

[Tool]
Top 10 property alternatives:
1. supports programming language, also known as programming language supported, supported programming language (wd:P3985 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): programming language which is supported by this programming tool
2. languages spoken, written or signed, also known as language written, wrote language, writes language, uses language, used language (wd:P1412 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. language used, also known as working languages, working language, used language, uses language, medium of instruction (wd:P2936 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language widely used (spoken or written) in this place or at this event or organisation
4. programmed in, also known as language, programming language, written in (wd:P277 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the programming language(s) in which the software is developed
5. language of work or name, also known as used language, named in language, language of work, language of website, language of URL (wd:P407 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
6. Wikimedia language code, also known as language code, WMF language code, MediaWiki interlanguage prefix, Wikibase monolingual text language code (wd:P424 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a language or variant as used by Wikimedia projects
7. IETF language tag, also known as BCP 47 language code, ISO language code IETF implementation, language code, language tag IETF (wd:P305 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for language or languoid per the Internet Engineering...-use. Format: 2 or 3 letters, followed by "-" if subtags present
8. ISO 639-6 code, also known as ISO 639-6, ISO639-6, ISO language code (4 letter) (wd:P221 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): 4-letter identifier for language variants per ISO 639-6, standard between 2009-2014
9. writing language, also known as languages for writing, writing languages, language written, languages written, languages of writings (wd:P6886 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): language in which the writer has written their work, subproperty of languages spoken, written or signed
10. Wikidata language code, also known as Wikidata language identifier, Wikidata language ID, Wikidata language codes, term language code, termbox language code (wd:P9753 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a language or variant at Wikidata (use P424 (Wikimedia language code) to identify the language of a Wikimedia wiki), subproperty of Wikimedia language code

[Assistant] Both P407 and P364 are relevant. I'll inspect the Esperanto item to get its Q-id and then query for periodicals whose language (P364) or language of work or name (P407) is Esperanto. I'll fetch the Esperanto item details to confirm its Q-id is Q143.

[Tool]
Got 1,357 rows and 3 columns, showing the first 10 rows below:
| subject             | property                        | object                                                                         |
| ------------------- | ------------------------------- | ------------------------------------------------------------------------------ |
| Esperanto (wd:Q143) | instance of (wdt:P31)           | modern language (wd:Q1288568)                                                  |
| Esperanto (wd:Q143) | country (wdt:P17)               | Esperantujo (wd:Q946318)                                                       |
| Esperanto (wd:Q143) | Commons category (wdt:P373)     | Esperanto                                                                      |
| Esperanto (wd:Q143) | image (wdt:P18)                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Esperanto.svg> |
| Esperanto (wd:Q143) | inception (wdt:P571)            | 1887-07-26T00:00:00Z (xsd:dateTime)                                            |
| Esperanto (wd:Q143) | described at URL (wdt:P973)     | <https://cals.info/language/esperanto/>                                        |
| Esperanto (wd:Q143) | described by source (wdt:P1343) | The New Student's Reference Work (wd:Q16082057)                                |
| Esperanto (wd:Q143) | country of origin (wdt:P495)    | Russian Empire (wd:Q34266)                                                     |
| Esperanto (wd:Q143) | follows (wdt:P155)              | Proto-Esperanto (wd:Q1201104)                                                  |
| Esperanto (wd:Q143) | creator (wdt:P170)              | L. L. Zamenhof (wd:Q11758)                                                     |
| ...                 | ...                             | ...                                                                            |

[Assistant] Now I'll construct a SPARQL query to find items that are instances of periodical (wd:Q1002697) or magazine (wd:Q36784) or newspaper (wd:Q11032) and that have P364 or P407 pointing to Esperanto (wd:Q143). I'll include the item IRI and optionally labels. I'll run the query to verify results.

[Tool]
Got 95 rows and 3 columns, showing the first 5 and last 5 rows below:
| periodical                                                                         | periodicalLabel                                                          | languageProp |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | ------------ |
| Momenton! (wd:Q10331627)                                                           | Momenton! (en)                                                           | P407         |
| Pola Esperantisto (wd:Q11821362)                                                   | Pola Esperantisto (en)                                                   | P407         |
| El Popola Ĉinio (wd:Q119633)                                                       | El Popola Ĉinio (en)                                                     | P407         |
| Beletra Almanako N-ro 4 (februaro 2009) (wd:Q12345463)                             | Beletra Almanako N-ro 4 (februaro 2009) (en)                             | P407         |
| Bohema Revuo Esperantista (wd:Q12345746)                                           | Bohema Revuo Esperantista (en)                                           | P407         |
| ...                                                                                | ...                                                                      | ...          |
| Mondano (wd:Q80452320)                                                             | Mondano (en)                                                             | P407         |
| Norda prismo : kultura, socia, literatura, revuo, dumonata (wd:Q80452629)          | Norda prismo : kultura, socia, literatura, revuo, dumonata (en)          | P407         |
| Paco : oficiala organo de Mondpaca esperantista movado (MEM) (wd:Q80452991)        | Paco : oficiala organo de Mondpaca esperantista movado (MEM) (en)        | P407         |
| UABO : (antaǔe Ligilo por vidant...la asocio de blindul-organizaĵoj (wd:Q80454504) | UABO : (antaǔe Ligilo por vidant...la asocio de blindul-organizaĵoj (en) | P407         |
| Lingvo Internacia (wd:Q844150)                                                     | Lingvo Internacia (en)                                                   | P407         |

[Assistant] The query returned many items. I should ensure we capture periodicals that may not be typed as periodical but as magazine, journal, or newspaper. I already included common classes. To be thorough, include ‘serial publication’ (wd:Q561794) as well. Also ensure we find items where Esperanto is the primary language — P364 or P407 indicates language but not necessarily primary. Wikidata has property 'main language' (P364? no). There is 'language of work or name' and 'original language of work' (P364?). Let me search for a property indicating 'primary language' for publications.

[Tool]
Top 10 property alternatives:
1. house publication, also known as official media, publishes, publication, organization publication, organisation publication (wd:P2813 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): media that speaks for an organization or a movement, and that is usually edited by its members
2. main subject, also known as main topic, primary subject, primary keyword, plot keyword, of (wd:P921 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): primary topic of a work, subproperty of depicts
3. Wikidata item of this property, also known as Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property, subject item (wd:P1629 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): item corresponding to the concept represented by the property
4. primary note, also known as vadi (wd:P7600 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): most prominent note in a raga
5. Periodical ID in a database of t...of Culture of the Czech Republic (wd:P9456 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): periodical's ID in the database of Ministry of Culture of the Czech Republic
6. parent astronomical body, also known as orbits, parent body, planetary system, primary, star (wd:P397 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): major astronomical body the item belongs to
7. CN, also known as China Serial Number, SAPPRFT Identifier, SAPPRFT ID, GAPP Identifier, CN serial number (wd:P1209 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a newspaper or magazine issued by State Administr...on, Radio, Film and Television of the People’s Republic of China
8. periodical archive URL, also known as magazine archive URL, newspaper back issues at, newspaper archive URL, newspaper archive, back issues at (wd:P7213 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): online repository of journal, magazine, or newspaper, subproperty of archive URL, subproperty of URL
9. distribution format, also known as media format, media type, medium, method of distribution, publication format (wd:P437 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): method (or type) of distribution for the subject
10. characteristic of, also known as quality of, property of, of, inheres in (wd:P13044 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value

[Assistant] It seems Wikidata doesn't have a dedicated 'primary language' property for periodicals; P364 and P407 are the typical properties. The user's question asks "Which periodicals have a primary language of Esperanto?" I'll interpret this as periodicals (instance of periodical/magazine/newspaper/serial) with P364 or P407 equal to Esperanto (wd:Q143). I'll extend the classes to include serial publication (wd:Q561794) and journal (wd:Q5633421?). Let me search for 'journal' item.

[Tool]
Top 10 entity alternatives:
1. Periodicals: Journal Redesigned (wd:Q58975895): scientific article published in Nature, instance of scholarly article
2. periodical; magazine; journal; periodical publication (wd:L992175-S1)
3. Journal of Modern Periodical Studies (wd:Q6295590): instance of academic journal, journal
4. Journal of European Periodical Studies (wd:Q50817856): Academic journal published by Ghent University , covering the subjects:  General Works: Periodicals, instance of open-access journal, instance of academic journal
5. periodicals publishing, also known as periodicals publishing, publishing of journals and periodicals (wd:Q29585661)
6. publication of journals and periodicals (wd:Q112165926)
7. magazine, also known as quarterly, magazines, serial, glossy, journal (wd:Q41298)
8. diary, also known as journal, journaling, diaries (wd:Q185598)
9. periodical, also known as periodical literature, periodicals, periodical publication (wd:Q1002697)
10. scientific journal, also known as science journal, scientific journals, scientific magazine, journal, journals (wd:Q5633421)

[Assistant] I'll add magazine (wd:Q41298) and academic journal (wd:Q5633421) to the types. I'll run an expanded query without limit to get all periodicals with these properties. Then I'll verify the results and return them.

[Tool]
Got 317 rows and 5 columns, showing the first 5 and last 5 rows below:
| periodical                                                                         | periodicalLabel                                                         | type                     | typeLabel       | languageProp |
| ---------------------------------------------------------------------------------- | ----------------------------------------------------------------------- | ------------------------ | --------------- | ------------ |
| wd:Q12357381                                                                       |                                                                         | magazine (wd:Q41298)     | magazine (en)   | P407         |
| wd:Q12355293                                                                       |                                                                         | magazine (wd:Q41298)     | magazine (en)   | P407         |
| wd:Q12355810                                                                       |                                                                         | magazine (wd:Q41298)     | magazine (en)   | P407         |
| wd:Q25474796                                                                       |                                                                         | magazine (wd:Q41298)     | magazine (en)   | P407         |
| wd:Q12356035                                                                       |                                                                         | magazine (wd:Q41298)     | magazine (en)   | P407         |
| ...                                                                                | ...                                                                     | ...                      | ...             | ...          |
| Vertikale (wd:Q1999041)                                                            | Vertikale (en)                                                          | magazine (wd:Q41298)     | magazine (en)   | P407         |
| Voinstvuiuschii ateizm (wd:Q56291294)                                              | Voinstvuiuschii ateizm (en)                                             | magazine (wd:Q41298)     | magazine (en)   | P407         |
| Vojo de la vivo: oficiala organo de la internacia kristana frataro (wd:Q123593369) | Vojo de la vivo: oficiala organo de la internacia kristana frataro (en) | periodical (wd:Q1002697) | periodical (en) | P407         |
| Vojo-Vero-Vivo: eldono de la internacia katolika informejo (wd:Q123593365)         | Vojo-Vero-Vivo: eldono de la internacia katolika informejo (en)         | periodical (wd:Q1002697) | periodical (en) | P407         |
| Young Friend (wd:Q3891983)                                                         | Young Friend (en)                                                       | periodical (wd:Q1002697) | periodical (en) | P407         |

[Assistant] We have many results (317). The user's question likely expects a list of periodicals whose primary language is Esperanto. I'll prepare the final SPARQL query that returns the periodical IRIs and English labels, and perhaps the property used (P364 or P407). I must ensure the query returns actual identifiers (IRIs), which it does. According to the rules, I must explain my thought process before and after each step and function call — I have done that in comments. Now I'll present the final SPARQL query and the answer. I'll run one final query limited to returning the items and labels, and then present the answer count and sample, but rule 3 requires executing final SPARQL before answering; I already executed queries. I'll run a final query to retrieve all distinct items and their English labels and the property used, and then output them.

[Tool]
Got 310 rows and 4 columns, showing the first 5 and last 5 rows below:
| periodical                                                                         | periodicalLabel                                                         | types           | languageProps |
| ---------------------------------------------------------------------------------- | ----------------------------------------------------------------------- | --------------- | ------------- |
| wd:Q19723943                                                                       |                                                                         | magazine (en)   | P407          |
| wd:Q64776830                                                                       |                                                                         | magazine (en)   | P407          |
| wd:Q130248902                                                                      |                                                                         | newspaper (en)  | P407          |
| wd:Q131696057                                                                      |                                                                         | magazine (en)   | P407          |
| wd:Q64584543                                                                       |                                                                         | newspaper (en)  | P407          |
| ...                                                                                | ...                                                                     | ...             | ...           |
| Vertikale (wd:Q1999041)                                                            | Vertikale (en)                                                          | magazine (en)   | P407          |
| Voinstvuiuschii ateizm (wd:Q56291294)                                              | Voinstvuiuschii ateizm (en)                                             | magazine (en)   | P407          |
| Vojo de la vivo: oficiala organo de la internacia kristana frataro (wd:Q123593369) | Vojo de la vivo: oficiala organo de la internacia kristana frataro (en) | periodical (en) | P407          |
| Vojo-Vero-Vivo: eldono de la internacia katolika informejo (wd:Q123593365)         | Vojo-Vero-Vivo: eldono de la internacia katolika informejo (en)         | periodical (en) | P407          |
| Young Friend (wd:Q3891983)                                                         | Young Friend (en)                                                       | periodical (en) | P407          |

[Assistant] I have a final query that returns periodicals with P364 or P407 = Esperanto (wd:Q143), their types and English labels when available. Now I'll provide the final SPARQL query and summarize the results: there are 310 items found. I'll return the query and the answer (number of periodicals and note about properties).

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?city ?cityLabel ?pop ?coord WHERE {
  ?city wdt:P17 wd:Q159 ; wdt:P625 ?coord ; wdt:P1082 ?pop ; wdt:P31 / wdt:P279 * wd:Q515 .
  FILTER ( ?pop > 100000 ) OPTIONAL {
    ?city rdfs:label ?cityLabel FILTER ( LANG( ?cityLabel ) = "en" )
  }
}
ORDER BY DESC ( ?pop )

I executed the query and it returns 111 cities in Russia with population > 100,000. The query results include each city's Wikidata IRI (?city), its English label (?cityLabel), population (?pop), and coordinates (?coord). Examples from the results (top 5): Moscow (wd:Q649) — POINT(37.6175 55.750556), Saint Petersburg (wd:Q656) — POINT(30.316667 59.95), Novosibirsk (wd:Q883) — POINT(82.916667 55.033333), Yekaterinburg (wd:Q887) — POINT(60.612778 56.835556), Kazan (wd:Q900) — POINT(49.114444 55.790833). If you want the full result set as CSV/JSON or additional filters (e.g., exclude federal cities or include towns), tell me and I'll adjust the query.

What are the cities in Russia with a population exceeding 100,000? For each one also return their coordinates

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the cities in Russia with a population exceeding 100,000? For each one also return their coordinates

[Assistant] Step 1 — I'll look up the Wikidata properties for population count and coordinates, and the entities for Russia and city to make sure I use the correct identifiers. I'll search for the properties "population" and "coordinate".

[Tool]
Top 10 property alternatives:
1. tabular population, also known as population (wd:P4179 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): same as population (P1082); used when there is data for many different points in time
2. population, also known as human population, inhabitants (wd:P1082 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of people inhabiting the place; number of people of subject
3. has census, also known as has human population census (wd:P8701 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): general population census of the country or region
4. urban population (wd:P6343 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of people living within the territorial entity who live in its urban parts, subproperty of population
5. birth rate (wd:P8763 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the total number of live births per 1,000 population
6. category populated by, also known as wikimedia entity populating this category, populated by, component adding into the category, category has template, category filled by (wd:P4329 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): software component (template, module, extension, MediaWiki core) populating the category
7. rural population (wd:P6344 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of people living within the territorial entity who live in its rural parts, subproperty of population
8. female population (wd:P1539 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of female people inhabiting the place; number of female people of subject, subproperty of population
9. male population, also known as number of males, male inhabitants (wd:P1540 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of male people inhabiting the place; number of male people of subject, subproperty of population
10. number of households, also known as dwellings, households (wd:P1538 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): total number of households in this place, includes dwellings of all types

[Assistant] I'll search for the property for coordinates (usually "coordinate location") and verify its identifier.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as gps co-ordinates, wgs 84, gps coordinates, gps location, latitude (wd:P625 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): links coordinate zoological names, subproperty of different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, subproperty of image
5. genomic start, also known as Genloc Start, start coordinate, genomic from, Genloc From, from (wd:P644 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): environment (geographic feature, building type, etc.) the narrative work is set in, subproperty of significant place, subproperty of depicts
7. narrative location, also known as set in location, setting of work, setting, setting location, setting place (wd:P840 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the narrative of the work is set in this location, subproperty of significant place, subproperty of depicts
8. location of discovery, also known as found in, location of discovered object, findspot, place of discovery, site of discovery (wd:P189 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): where the item was located when discovered, subproperty of significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): frame of reference used to produce a map
10. coordinates of geographic center, also known as geographic centre, geographic center, geographical midpoint, geographical centre, coordinates of geographic centre (wd:P5140 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, subproperty of coordinate location

[Assistant] Next, I'll search for the entity Russia and the class "city" to get their Q-codes.

[Tool]
Top 10 entity alternatives:
1. Russia, also known as RU, ru, RUS, Russian Federation, ISO 3166-1:RU (wd:Q159): country in Eastern Europe and Northern Asia, instance of transcontinental country, instance of sovereign state, instance of successor state, instance of secular state, instance of federation, instance of country
2. Russian Empire, also known as Tsarist Russia, Russia or Moscovy, Russia, Rusia, Rossia (wd:Q34266): former empire in Eurasia and North America (1721–1917), instance of historical country
3. Russia, also known as Russia, OH (wd:Q2477732): instance of village of Ohio, town in Ohio
4. Russia, also known as Russia, NY (wd:Q3708651): instance of town in the United States, instance of town of New York, town in New York
5. Russia in the Junior Eurovision Song Contest 2006, also known as Russia (wd:Q12739658): instance of nation at competition
6. Russia (wd:Q4339657): annual international documentary film festival in Yekaterinburg, instance of film festival
7. Intelligence and Security Committee Russia report, also known as The Russia report, Russia Report, Russia (wd:Q97577701): UK government investigation into allegations of Russian interference in British politics, instance of report
8. Russia (wd:Q19149694): instance of literary work, poem by Alexander Blok
9. Russia, also known as Russia, New Jersey, Russia, NJ (wd:Q20657737): instance of unincorporated community in the United States, township in Morris County, New Jersey
10. Russia, also known as Rossiya (wd:Q109806507): cast iron sculpture by Nikolay Laveretsky, instance of sculpture

[Assistant] I'll search for "city" and related classes like "city in Russia" to find the appropriate class item identifiers (e.g., Q515 for city).

[Tool]
Top 10 entity alternatives:
1. city, also known as cities (wd:Q515)
2. Manchester City F.C., also known as Citizens, The Sky Blues, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England, instance of association football club
3. Leicester City F.C., also known as The Foxes, Leicester Fosse Football Club, Leicester Fosse FC, Leicester Fosse, Leicester (wd:Q19481): association football club in Leicester, England, instance of association football club
4. Swansea City A.F.C., also known as Swansea City Association Football Club, The Swans, The Jacks, Swansea City AFC, Swansea City (wd:Q18659): association football club in Swansea, Wales, instance of association football club
5. Stoke City F.C., also known as The Potters, Stoke City Football Club, Stoke City FC, Stoke, Stoke City (wd:Q18736): association football club in Stoke-on-Trent, England, instance of association football club
6. Birmingham City F.C., also known as City, BCFC, Blues, Birmingham City Football Club, Birmingham City FC (wd:Q19444): association football club in Birmingham, England, instance of association football club
7. Norwich City F.C., also known as City, The Canaries, Norwich City Football Club, Norwich City FC, Norwich City (wd:Q18721): association football club in Norwich, England, instance of association football club
8. Cardiff City F.C., also known as CCFC, City, The Bluebirds, Cardiff City FC, Cardiff City Football Club (wd:Q18662): association football club in Cardiff, Wales, instance of association football club
9. Hull City A.F.C., also known as Hull, The Tigers, Hull City Association Football Club, Hull City AFC, Hull City (wd:Q19477): association football club in Hull, England, instance of association football club
10. Coventry City F.C., also known as Sky Blues, Coventry City Football Club, Coventry City FC, Coventry City, Coventry (wd:Q19580): association football club in Coventry, England, instance of association football club

[Assistant] I'll run a SPARQL query that selects items that are instance of city (wd:Q515), country Russia (wd:Q159), have a population (P1082) greater than 100,000, and have coordinates (P625). I'll request the city's IRI, English label (optional), population, and coordinates. Then I'll execute it to verify results.

[Tool]
Got 11 rows and 4 columns, showing the first 5 and last 5 rows below:
| city                   | cityLabel        | pop                   | coord                                        |
| ---------------------- | ---------------- | --------------------- | -------------------------------------------- |
| Chelyabinsk (wd:Q906)  | Chelyabinsk (en) | 1176770 (xsd:decimal) | POINT(61.400000 55.150000) (geo:wktLiteral)  |
| Tolyatti (wd:Q1341)    | Tolyatti (en)    | 662683 (xsd:decimal)  | POINT(49.416667 53.516667) (geo:wktLiteral)  |
| Makhachkala (wd:Q5168) | Makhachkala (en) | 662660 (xsd:decimal)  | POINT(47.505000 42.982500) (geo:wktLiteral)  |
| Irkutsk (wd:Q6576)     | Irkutsk (en)     | 605708 (xsd:decimal)  | POINT(104.280000 52.289167) (geo:wktLiteral) |
| Vladivostok (wd:Q959)  | Vladivostok (en) | 591628 (xsd:decimal)  | POINT(131.885278 43.115000) (geo:wktLiteral) |
| ...                    | ...              | ...                   | ...                                          |
| Orsk (wd:Q47166)       | Orsk (en)        | 185362 (xsd:decimal)  | POINT(58.468100 51.229000) (geo:wktLiteral)  |
| Abakan (wd:Q875)       | Abakan (en)      | 184284 (xsd:decimal)  | POINT(91.416667 53.716667) (geo:wktLiteral)  |
| Maykop (wd:Q3752)      | Maykop (en)      | 137899 (xsd:decimal)  | POINT(40.083333 44.600000) (geo:wktLiteral)  |
| Obninsk (wd:Q175651)   | Obninsk (en)     | 132477 (xsd:decimal)  | POINT(36.616667 55.100000) (geo:wktLiteral)  |
| Murino (wd:Q1978797)   | Murino (en)      | 116293 (xsd:decimal)  | POINT(30.438611 60.051389) (geo:wktLiteral)  |

[Assistant] I'll refine the query to include items that are instances of subclasses of "inhabited place" (Q486972) to capture cities labeled differently in Wikidata (e.g., "city of federal subject"). I'll execute that query to verify results.

[Tool]
Got 2,974 rows and 4 columns, showing the first 5 and last 5 rows below:
| city                                   | cityLabel                     | pop                    | coord                                       |
| -------------------------------------- | ----------------------------- | ---------------------- | ------------------------------------------- |
| Moscow metropolitan area (wd:Q1973751) | Moscow metropolitan area (en) | 17125000 (xsd:decimal) | POINT(37.500000 55.666700) (geo:wktLiteral) |
| Moscow metropolitan area (wd:Q1973751) | Moscow metropolitan area (en) | 17125000 (xsd:decimal) | POINT(37.500000 55.666700) (geo:wktLiteral) |
| Moscow (wd:Q649)                       | Moscow (en)                   | 13274285 (xsd:decimal) | POINT(37.617500 55.750556) (geo:wktLiteral) |
| Moscow (wd:Q649)                       | Moscow (en)                   | 13274285 (xsd:decimal) | POINT(37.617500 55.750556) (geo:wktLiteral) |
| Moscow (wd:Q649)                       | Moscow (en)                   | 13274285 (xsd:decimal) | POINT(37.617500 55.750556) (geo:wktLiteral) |
| ...                                    | ...                           | ...                    | ...                                         |
| Yaroslavsky District (wd:Q2367611)     | Yaroslavsky District (en)     | 100177 (xsd:decimal)   | POINT(37.697500 55.859200) (geo:wktLiteral) |
| Kryukovo District (wd:Q587055)         | Kryukovo District (en)        | 100098 (xsd:decimal)   | POINT(37.167778 55.973611) (geo:wktLiteral) |
| Leninsky District (wd:Q30891259)       | Leninsky District (en)        | 100095 (xsd:decimal)   | POINT(59.066667 53.450000) (geo:wktLiteral) |
| Tsentralny City District (wd:Q4504362) | Tsentralny City District (en) | 100015 (xsd:decimal)   | POINT(61.391667 55.162500) (geo:wktLiteral) |
| Tsentralny City District (wd:Q2084341) | Tsentralny City District (en) | 100011 (xsd:decimal)   | POINT(39.733000 43.600000) (geo:wktLiteral) |

[Assistant] I'll search for entities like "city in Russia" or items used to classify Russian cities to better capture all cities (not districts or metropolitan areas). I'll look for subclasses of Q515 that are specific to Russian administrative types (e.g., "city of federal subject", "town").

[Tool]
Top 10 property alternatives:
1. Great Russian Encyclopedia portal ID, also known as bigenc.ru, GRE portal ID (wd:P11514 as wdt/p): identifier of an entry on the web portal based on the Great Russian Encyclopedia (for the older version of encyclopedia use P2924)
2. Great Russian Encyclopedia Online ID (old version), also known as Great Russian Encyclopedia Online, old.bigenc.ru, GREO ID, GREO 2017, Great Russian Encyclopedia ID (wd:P2924 as p): identifier for an entry on old.bigenc.ru, the official site of t...opedia Online 2014–2017 (current version of bigenc.ru is P11514)
3. Krugosvet article (wd:P6385 as wdt/p): link to article of Russian-language online encyclopedia
4. image, also known as img, infobox image, photo, photograph, picture (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. Vikidia article ID, also known as Vikidia ID (wd:P12800 as wdt/p): identifier for an article on Vikidia (format "lang-code:title")
6. Le Monde diplomatique subject ID (wd:P3612 as wdt/p): identifier for a topic in the French newspaper Le Monde diplomatique
7. geography of topic (wd:P2633 as wdt/p): item that deals with the geography of the subject. Sample: "Rio ...10288853). For the location of a subject, use "location" (P276).
8. OpenStreetMap tag or key, also known as key, tag, OSM wiki tag or key, OSM tag or key, OSM tag (wd:P1282 as wdt/p): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values
9. described by source, also known as mentioned in, mentioned in news article, reviewed in, source of item, subject in (wd:P1343 as wdt/p): work where this item is described, subproperty of attested in
10. topic's main category, also known as category for this topic, Wikipedia category, Wikimedia category, Wiki category, subject category (wd:P910 as wdt/p): main Wikimedia category

No other items found

[Assistant] I'll check the instance-of (P31) values for some well-known Russian cities (Moscow, Saint Petersburg, Novosibirsk) to see which classes are commonly used. I'll query P31 for these items.

[Tool]
Got 7 rows and 3 columns:
| subject          | property              | object                                |
| ---------------- | --------------------- | ------------------------------------- |
| Moscow (wd:Q649) | instance of (wdt:P31) | big city (wd:Q1549591)                |
| Moscow (wd:Q649) | instance of (wdt:P31) | megacity (wd:Q174844)                 |
| Moscow (wd:Q649) | instance of (wdt:P31) | federal city of Russia (wd:Q183342)   |
| Moscow (wd:Q649) | instance of (wdt:P31) | federal subject of Russia (wd:Q43263) |
| Moscow (wd:Q649) | instance of (wdt:P31) | capital of Russia (wd:Q4442912)       |
| Moscow (wd:Q649) | instance of (wdt:P31) | largest city (wd:Q51929311)           |
| Moscow (wd:Q649) | instance of (wdt:P31) | city or town (wd:Q7930989)            |

[Assistant] I'll check Saint Petersburg and Novosibirsk as well.

[Tool]
Got 3 rows and 3 columns:
| subject              | property              | object                       |
| -------------------- | --------------------- | ---------------------------- |
| Brisbane (wd:Q34932) | instance of (wdt:P31) | city (wd:Q515)               |
| Brisbane (wd:Q34932) | instance of (wdt:P31) | state capital (wd:Q11271835) |
| Brisbane (wd:Q34932) | instance of (wdt:P31) | big city (wd:Q1549591)       |

[Tool]
Got 1 row and 3 columns:
| subject                       | property              | object                           |
| ----------------------------- | --------------------- | -------------------------------- |
| Satavahana dynasty (wd:Q5257) | instance of (wdt:P31) | historical country (wd:Q3024240) |

[Assistant] I'll check whether classes like 'big city' (Q1549591), 'city or town' (Q7930989), and 'federal city of Russia' are subclasses of 'city' (Q515), to decide which instance-of patterns to include. I'll query the subclass (P279) hierarchy for these items.

[Tool]
Got 1 row and 3 columns:
| subject                | property               | object         |
| ---------------------- | ---------------------- | -------------- |
| big city (wd:Q1549591) | subclass of (wdt:P279) | city (wd:Q515) |

[Tool]
Got 3 rows and 3 columns:
| subject                    | property               | object                                        |
| -------------------------- | ---------------------- | --------------------------------------------- |
| city or town (wd:Q7930989) | subclass of (wdt:P279) | administrative territorial entity (wd:Q56061) |
| city or town (wd:Q7930989) | subclass of (wdt:P279) | locality (wd:Q3257686)                        |
| city or town (wd:Q7930989) | subclass of (wdt:P279) | urban settlement (wd:Q124250988)              |

[Assistant] Given the variability in P31 usage, it's safer to select items that are instance of any subclass of 'inhabited place' (Q486972) or 'city' (Q515) and belong to Russia (P17 wd:Q159), with population > 100000 and coordinates present. I'll craft a final SPARQL query that returns the city's IRI and coordinates, and include English label optionally. Then I'll run it and ensure it returns expected results.

[Tool]
Got 2,804 rows and 4 columns, showing the first 5 and last 5 rows below:
| city                                             | cityLabel                               | pop                    | coord                                       |
| ------------------------------------------------ | --------------------------------------- | ---------------------- | ------------------------------------------- |
| Moscow metropolitan area (wd:Q1973751)           | Moscow metropolitan area (en)           | 17125000 (xsd:decimal) | POINT(37.500000 55.666700) (geo:wktLiteral) |
| Moscow (wd:Q649)                                 | Moscow (en)                             | 13274285 (xsd:decimal) | POINT(37.617500 55.750556) (geo:wktLiteral) |
| Saint Petersburg metropolitan area (wd:Q2224568) | Saint Petersburg metropolitan area (en) | 6500000 (xsd:decimal)  | POINT(30.316667 59.933333) (geo:wktLiteral) |
| Saint Petersburg (wd:Q656)                       | Saint Petersburg (en)                   | 5652922 (xsd:decimal)  | POINT(30.316667 59.950000) (geo:wktLiteral) |
| Samara–Tolyatti metropolitan area (wd:Q4406436)  | Samara–Tolyatti metropolitan area (en)  | 2737940 (xsd:decimal)  | POINT(50.200000 53.416667) (geo:wktLiteral) |
| ...                                              | ...                                     | ...                    | ...                                         |
| Yaroslavsky District (wd:Q2367611)               | Yaroslavsky District (en)               | 100177 (xsd:decimal)   | POINT(37.697500 55.859200) (geo:wktLiteral) |
| Kryukovo District (wd:Q587055)                   | Kryukovo District (en)                  | 100098 (xsd:decimal)   | POINT(37.167778 55.973611) (geo:wktLiteral) |
| Leninsky District (wd:Q30891259)                 | Leninsky District (en)                  | 100095 (xsd:decimal)   | POINT(59.066667 53.450000) (geo:wktLiteral) |
| Tsentralny City District (wd:Q4504362)           | Tsentralny City District (en)           | 100015 (xsd:decimal)   | POINT(61.391667 55.162500) (geo:wktLiteral) |
| Tsentralny City District (wd:Q2084341)           | Tsentralny City District (en)           | 100011 (xsd:decimal)   | POINT(39.733000 43.600000) (geo:wktLiteral) |

[Assistant] I see that this query returns many administrative districts and metropolitan areas; the user asked for "cities in Russia". To be precise, I'll restrict to items that are instance of 'city' (Q515) or subclass of it. I'll run a query where ?city wdt:P31/wdt:P279* wd:Q515. This should better match cities and exclude districts/metropolitan areas.

[Tool]
Got 111 rows and 4 columns, showing the first 5 and last 5 rows below:
| city                        | cityLabel             | pop                    | coord                                       |
| --------------------------- | --------------------- | ---------------------- | ------------------------------------------- |
| Moscow (wd:Q649)            | Moscow (en)           | 13274285 (xsd:decimal) | POINT(37.617500 55.750556) (geo:wktLiteral) |
| Saint Petersburg (wd:Q656)  | Saint Petersburg (en) | 5652922 (xsd:decimal)  | POINT(30.316667 59.950000) (geo:wktLiteral) |
| Novosibirsk (wd:Q883)       | Novosibirsk (en)      | 1637266 (xsd:decimal)  | POINT(82.916667 55.033333) (geo:wktLiteral) |
| Yekaterinburg (wd:Q887)     | Yekaterinburg (en)    | 1468833 (xsd:decimal)  | POINT(60.612778 56.835556) (geo:wktLiteral) |
| Kazan (wd:Q900)             | Kazan (en)            | 1329825 (xsd:decimal)  | POINT(49.114444 55.790833) (geo:wktLiteral) |
| ...                         | ...                   | ...                    | ...                                         |
| Elista (wd:Q3977)           | Elista (en)           | 104082 (xsd:decimal)   | POINT(44.266667 46.316667) (geo:wktLiteral) |
| Murom (wd:Q162677)          | Murom (en)            | 104078 (xsd:decimal)   | POINT(42.053839 55.580854) (geo:wktLiteral) |
| Noyabrsk (wd:Q175524)       | Noyabrsk (en)         | 102938 (xsd:decimal)   | POINT(75.451667 63.201667) (geo:wktLiteral) |
| Berdsk (wd:Q104991)         | Berdsk (en)           | 101987 (xsd:decimal)   | POINT(83.100000 54.750000) (geo:wktLiteral) |
| Novoshakhtinsk (wd:Q155809) | Novoshakhtinsk (en)   | 100738 (xsd:decimal)   | POINT(39.916667 47.766667) (geo:wktLiteral) |

[Assistant] This looks reasonable: 111 cities. I will prepare the final SPARQL query that the user can run; it will return the city's IRI and coordinates (P625), plus an optional English label and population. According to the additional rules, I must explain my thought process before and after each function call — I have been doing that. Now I'll finalize by returning the SPARQL query and the answer indicating what it returns.

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?chapter ?chapterLabelJa ?titleJa ?volume ?seriesOrdinal ?pubDate ?place ?placeLabelEn WHERE {
  ?chapter wdt:P31 wd:Q53460949 ; wdt:P179 wd:Q3853685 .
  OPTIONAL {
    ?chapter rdfs:label ?chapterLabelJa FILTER ( LANG( ?chapterLabelJa ) = "ja" )
  }
  OPTIONAL {
    ?chapter p:P1476 ?titleStmt .
    ?titleStmt ps:P1476 ?titleJa .
    FILTER ( LANG( ?titleJa ) = "ja" )
  }
  OPTIONAL {
    ?chapter wdt:P478 ?volume
  }
  OPTIONAL {
    ?chapter wdt:P1545 ?seriesOrdinal
  }
  OPTIONAL {
    ?chapter wdt:P577 ?pubDate
  }
  OPTIONAL {
    ?chapter wdt:P291 ?place .
    ?place rdfs:label ?placeLabelEn
    FILTER ( LANG( ?placeLabelEn ) = "en" )
  }
}
ORDER BY ?chapter
LIMIT 500

I found 12 Wikidata items that are instances of "manga chapter" and are part of the Detective Conan series (wd:Q3853685). The SPARQL query above returns for each chapter: its IRI (?chapter), Japanese label (rdfs:label in Japanese) and Japanese title (P1476 in Japanese) where available, volume (P478), series ordinal (P1545), publication date (P577), and place of publication (P291) with an English label when available. Example results (from the query):

- wd:Q131383795 — ja label/title: 邂逅遭遇 — publication date: 2024-11-20
- wd:Q131383796 — ja label/title: 快刀乱麻 — publication date: 2024-11-27
- wd:Q131383797 — ja label/title: 一期一会 — publication date: 2024-12-04
- wd:Q132175258 — ja label/title: 屍人の御燈
- wd:Q132175259 — ja label/title: 火はまた燃える
- wd:Q133873268 — ja label/title: 小五郎の密会 — publication date: 2025-04-02
- wd:Q133873269 — ja label/title: ウソつきは･･･ — publication date: 2025-04-09
- wd:Q133873270 — ja label/title: 煙のように
- wd:Q134599654 — ja label/title: 呼び出された男
- wd:Q134700381 — ja label/title: 危険な再会 — publication date: 2025-06-04

Many of these items currently lack volume, series ordinal, or place of publication statements in Wikidata. The provided SPARQL query can be re-run to retrieve the full table of results.

Which items are manga chapters that are part of the "Detective Conan" series? Provide each chapter's Japanese title (if available), volume (if available), series ordinal (if available), publication date (if available), and place of publication (if available).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which items are manga chapters that are part of the "Detective Conan" series? Provide each chapter's Japanese title (if available), volume (if available), series ordinal (if available), publication date (if available), and place of publication (if available).

[Assistant] I will search Wikidata for the Detective Conan series entity, then find items that are manga chapters (instances of "manga chapter" or subclass) that are part of that series. I'll inspect properties for Japanese title, volume, series ordinal, publication date, and place of publication, and then build and run a SPARQL query returning these fields.

[Tool]
Top 10 entity alternatives:
1. Detective Conan, also known as Case Closed (wd:Q3853685): instance of manga series, Japanese manga series
2. Detective Conan, also known as Conan, Meitantei Konan, Meitantei Conan, Case Closed (wd:Q185143): instance of media franchise, Japanese animy series
3. Case Closed, also known as Detective Conan, Meitantei Conan (wd:Q5363072): instance of anime television series, Japanese anime television series
4. Detective Conan, also known as Case Closed (wd:Q12294798): instance of film series, film series
5. Detective Conan Short Stories, also known as Meitantei Conan Tokubetsu-hen, Detective Conan Tokubetsu-hen (wd:Q1201105): instance of manga series, Japanese manga series
6. Case Closed, vol.2, also known as Detective Conan 2, Detective Conan volume 2, Detective Conan, vol.2, Detective Conan vol.2, Detective Conan vol 2 (wd:Q21082202): instance of manga
7. Case Closed, vol.1, also known as Detective Conan volume 1, Case Closed 1, Detective Conan, vol.1, Detective Conan vol.1, Detective Conan vol 1 (wd:Q26884509): instance of manga
8. Case Closed, vol.3, also known as Detective Conan volume 3, Detective Conan, vol.3, Detective Conan vol.3, Detective Conan vol 3, Detective Conan 3 (wd:Q26905865): instance of manga
9. Case Closed, vol.4, also known as Detective Conan volume 4, Detective Conan, vol.4, Detective Conan vol.4, Detective Conan vol 4, Detective Conan 4 (wd:Q26912923): instance of manga
10. Detective Conan universe (wd:Q16700410): narrative universe of the Detective Conan manga series, instance of fictional universe

[Tool]
Top 10 entity alternatives:
1. manga chapter (wd:Q53460949)
2. Chapter 16. Developmental Effects of Manganese (wd:Q60146362): instance of scholarly article
3. manga, also known as Japanese-style comics, manga novel (wd:Q8274)
4. maNga (wd:Q189410): instance of musical group, Turkish nu metal band
5. chapter, also known as book section, book chapter (wd:Q1980247)
6. Manga, also known as Manga, Burkina Faso (wd:Q999498): city in Burkina Faso, instance of city
7. cathedral chapter, also known as chapter (wd:Q3184737)
8. chapter (wd:Q216285)
9. Manga, also known as Manga, Minas Gerais (wd:Q283581): municipality in Minas Gerais, Brazil, instance of municipality of Brazil
10. Manga (wd:Q984275): association football player, Brazilian footballer, instance of human

[Assistant] I'll search for relevant properties: "part of the series" and properties for volume, series ordinal, publication date, place of publication, and Japanese title. I'll also confirm the entity for Detective Conan (manga series) and the item for "manga chapter". I'll start by checking the Detective Conan series entity and the manga chapter class.

[Tool]
Got 169 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                            | object                                 |
| ----------------------------- | ----------------------------------- | -------------------------------------- |
| Detective Conan (wd:Q3853685) | instance of (wdt:P31)               | manga series (wd:Q21198342)            |
| Detective Conan (wd:Q3853685) | title (wdt:P1476)                   | 名探偵コナン (ja)                            |
| Detective Conan (wd:Q3853685) | published in (wdt:P1433)            | Weekly Shōnen Sunday (wd:Q875066)      |
| Detective Conan (wd:Q3853685) | author (wdt:P50)                    | Gosho Aoyama (wd:Q313945)              |
| Detective Conan (wd:Q3853685) | language of work or name (wdt:P407) | Japanese (wd:Q5287)                    |
| Detective Conan (wd:Q3853685) | Commons category (wdt:P373)         | Detective Conan                        |
| Detective Conan (wd:Q3853685) | has part(s) (wdt:P527)              | Case Closed, vol.2 (wd:Q21082202)      |
| Detective Conan (wd:Q3853685) | country of origin (wdt:P495)        | Japan (wd:Q17)                         |
| Detective Conan (wd:Q3853685) | genre (wdt:P136)                    | mystery anime and manga (wd:Q15637305) |
| Detective Conan (wd:Q3853685) | different from (wdt:P1889)          | Detective Conan (wd:Q185143)           |
| ...                           | ...                                 | ...                                    |

[Assistant] I'll query Wikidata for items that are instances of "manga chapter" and that are part of the Detective Conan series (property P179 = Detective Conan wd:Q3853685). I'll retrieve labels and the requested properties where available. I'll start with a basic query to list such items to verify there are entries.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                           | itemLabel     |
| ---------------------------------------------- | ------------- |
| A Chance Meeting (wd:Q131383795)               | 邂逅遭遇 (ja)     |
| Cutting the Gordian Knot (wd:Q131383796)       | 快刀乱麻 (ja)     |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | 一期一会 (ja)     |
| The Sacred Light of the Dead (wd:Q132175258)   | 屍人の御燈 (ja)    |
| The Fire Burns Again (wd:Q132175259)           | 火はまた燃える (ja)  |
| ...                                            | ...           |
| wd:Q133873268                                  | 小五郎の密会 (ja)   |
| wd:Q133873269                                  | ウソつきは･･･ (ja) |
| wd:Q133873270                                  | 煙のように (ja)    |
| wd:Q134599654                                  | 呼び出された男 (ja)  |
| wd:Q134700381                                  | 危険な再会 (ja)    |

[Assistant] Now I'll search for properties related to volume, series ordinal, publication date, and place of publication to ensure I use the correct property IDs.

[Tool]
Top 10 property alternatives:
1. volume, also known as number of part, volume of serial, volume of a book, volume number, vol. (wd:P478 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication
2. published in, also known as tome of, tome of the book, track of, track on, track on album (wd:P1433 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): larger work that a given work was published in, like a journal, a website, a collection, a book or a music album, subproperty of part of
3. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of segments of anthology film, number of songs (wd:P2635 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the number of parts that a work comprises
4. volume as quantity, also known as volume (geometry), vaq, tonnage, quantity as volume, spatial volume (wd:P2234 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): quantity of three-dimensional space
5. total exports, also known as exports, export volume (wd:P2135 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): amount of goods and services sold to other countries
6. maximum size or capacity, also known as storage size, storage capacity, size limit, maximum file size, file size limit (wd:P3559 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): maximum allowed/supported/usable (data) size
7. measured physical quantity, also known as physical quantity, quantity, measures, measure of (wd:P111 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): value of a physical property expressed as number multiplied by a unit
8. quantity, also known as number of instances, total number, total, qty, occurrences (wd:P1114 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. production rate, also known as production volume, rate of production (wd:P2197 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): amount of a given material produced in a given time
10. throughput, also known as capacity, rate (wd:P2957 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): volume of units that do or can pass through or be transported by the object

[Tool]
Top 10 property alternatives:
1. series ordinal, also known as unit number, sort order, sorting order, ordinal, series number (wd:P1545 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
2. volume, also known as number of part, volume of serial, volume of a book, volume number, vol. (wd:P478 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication
3. number of seasons, also known as number of series, seasons, no. of series, no. of seasons (wd:P2437 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of seasons a television or radio series has had, subproperty of number of parts of this work
4. regnal ordinal, also known as regnal number, royal numeral (wd:P7338 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): (qualifier) the ordinal number used with this name. Generally to...ish it among persons with the same name who held the same office
5. part of the series, also known as video game series, subseries, series, part of series, listed in (wd:P179 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): series which contains the subject, subproperty of part of
6. MusicBrainz series ID, also known as MBS, MB series ID, MusicBrainz ID, Series ID, Series MBID (wd:P1407 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a series per the MusicBrainz open music encyclopedia
7. y-offset, also known as ordinate, y-axis (wd:P8685 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): offset on the y-axis or secondary axis
8. collection, also known as series, repository, museum collection, held by, GLAM (wd:P195 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): art, museum, archival, or bibliographic collection of which the subject is part, subproperty of part of
9. ordered by (wd:P8004 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): subject that ordered the act
10. GCD series ID, also known as comics.org series ID, GCD series, Grand Comics Database series ID (wd:P3589 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of a comic book series in the Grand Comics Database (GCD)

[Tool]
Top 10 property alternatives:
1. publication date, also known as published, publication time, publication, pubdate, launched (wd:P577 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date or point in time when a work was first published or released, subproperty of point in time
2. dissolved, abolished or demolished date, also known as end date, publication end date, ended, final issue, final year (wd:P576 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, subproperty of end time
3. place of publication, also known as country (published in), where published, release region, released in, published in (place) (wd:P291 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): geographical place of publication of the edition (use 1st edition when referring to works), subproperty of significant place
4. published in, also known as tome of, tome of the book, track of, track on, track on album (wd:P1433 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): larger work that a given work was published in, like a journal, a website, a collection, a book or a music album, subproperty of part of
5. announcement date, also known as date teased, made public on, public announcement date, published, released (wd:P6949 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): time of the first public presentation of a subject by the creator, of information by the media, subproperty of point in time
6. edition number, also known as number of event, software version number, version number (wd:P393 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of an edition (first, second, ... as 1, 2, ...) or event, subproperty of series ordinal
7. publisher, also known as video game publisher, software publisher, sheet music publisher, publishing house, music publisher (wd:P123 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
8. distribution format, also known as media format, media type, medium, method of distribution, publication format (wd:P437 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): method (or type) of distribution for the subject
9. publication interval, also known as frequency of publication, interval of publication, publication cycle, publication frequency, update frequency (wd:P2896 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): standard publication interval for daily or periodical publications, subproperty of event interval
10. platform, also known as computing platform, environment, game platform, hardware, platforms (wd:P400 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): platform for which a work was developed or released, or the specific platform version of a software product

[Tool]
Top 10 property alternatives:
1. place of publication, also known as country (published in), where published, release region, released in, published in (place) (wd:P291 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): geographical place of publication of the edition (use 1st edition when referring to works), subproperty of significant place
2. publication date, also known as published, publication time, publication, pubdate, launched (wd:P577 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): date or point in time when a work was first published or released, subproperty of point in time
3. distribution format, also known as media format, media type, medium, method of distribution, publication format (wd:P437 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): method (or type) of distribution for the subject
4. published in, also known as tome of, tome of the book, track of, track on, track on album (wd:P1433 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): larger work that a given work was published in, like a journal, a website, a collection, a book or a music album, subproperty of part of
5. publisher, also known as video game publisher, software publisher, sheet music publisher, publishing house, music publisher (wd:P123 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
6. announcement date, also known as date teased, made public on, public announcement date, published, released (wd:P6949 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): time of the first public presentation of a subject by the creator, of information by the media, subproperty of point in time
7. platform, also known as computing platform, environment, game platform, hardware, platforms (wd:P400 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): platform for which a work was developed or released, or the specific platform version of a software product
8. house publication, also known as official media, publishes, publication, organization publication, organisation publication (wd:P2813 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): media that speaks for an organization or a movement, and that is usually edited by its members
9. volume, also known as number of part, volume of serial, volume of a book, volume number, vol. (wd:P478 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication
10. issuing agent of work, also known as work issued by, organ of, official publication of, official organ of, official journal of (wd:P9901 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): organization, agency, or other entity responsible for issuing a ...f the entity; distinct from commercial publisher of the resource

[Assistant] We have property IDs: P478 volume, P1545 series ordinal, P577 publication date, P291 place of publication, P1476 title (with language). Also part of series P179 and instance of manga chapter Q53460949. Now I'll build a SPARQL query that selects items (?chapter) which are instance of manga chapter and part of Detective Conan series. For each chapter, I'll optionally get Japanese title (rdfs:label filtered ja or P1476 with language), volume (P478), series ordinal (P1545), publication date (P577), and place of publication (P291). I'll include the item IRIs. I'll run the query and check results.

[Tool]
Got 12 rows and 8 columns, showing the first 5 and last 5 rows below:
| chapter                                        | jaLabel       | titleText     | volume | seriesOrdinal | pubDate                             | place | placeLabel |
| ---------------------------------------------- | ------------- | ------------- | ------ | ------------- | ----------------------------------- | ----- | ---------- |
| A Chance Meeting (wd:Q131383795)               | 邂逅遭遇 (ja)     | 邂逅遭遇 (ja)     |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |       |            |
| Cutting the Gordian Knot (wd:Q131383796)       | 快刀乱麻 (ja)     | 快刀乱麻 (ja)     |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |       |            |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | 一期一会 (ja)     | 一期一会 (ja)     |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |       |            |
| The Sacred Light of the Dead (wd:Q132175258)   | 屍人の御燈 (ja)    | 屍人の御燈 (ja)    |        |               |                                     |       |            |
| The Fire Burns Again (wd:Q132175259)           | 火はまた燃える (ja)  | 火はまた燃える (ja)  |        |               |                                     |       |            |
| ...                                            | ...           | ...           | ...    | ...           | ...                                 | ...   | ...        |
| wd:Q133873268                                  | 小五郎の密会 (ja)   | 小五郎の密会 (ja)   |        |               | 2025-04-02T00:00:00Z (xsd:dateTime) |       |            |
| wd:Q133873269                                  | ウソつきは･･･ (ja) | ウソつきは･･･ (ja) |        |               | 2025-04-09T00:00:00Z (xsd:dateTime) |       |            |
| wd:Q133873270                                  | 煙のように (ja)    | 煙のように (ja)    |        |               |                                     |       |            |
| wd:Q134599654                                  | 呼び出された男 (ja)  | 呼び出された男 (ja)  |        |               |                                     |       |            |
| wd:Q134700381                                  | 危険な再会 (ja)    | 危険な再会 (ja)    |        |               | 2025-06-04T00:00:00Z (xsd:dateTime) |       |            |

[Assistant] I'll execute the final SPARQL query that retrieves all items that are instances of "manga chapter" and part of the Detective Conan series, returning each chapter's Japanese title (label or P1476), volume (P478), series ordinal (P1545), publication date (P577), and place of publication (P291). Then I'll provide the results.

[Tool]
Got 12 rows and 8 columns, showing the first 5 and last 5 rows below:
| chapter                                        | chapterLabelJa | titleJa       | volume | seriesOrdinal | pubDate                             | place | placeLabelEn |
| ---------------------------------------------- | -------------- | ------------- | ------ | ------------- | ----------------------------------- | ----- | ------------ |
| A Chance Meeting (wd:Q131383795)               | 邂逅遭遇 (ja)      | 邂逅遭遇 (ja)     |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |       |              |
| Cutting the Gordian Knot (wd:Q131383796)       | 快刀乱麻 (ja)      | 快刀乱麻 (ja)     |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |       |              |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | 一期一会 (ja)      | 一期一会 (ja)     |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |       |              |
| The Sacred Light of the Dead (wd:Q132175258)   | 屍人の御燈 (ja)     | 屍人の御燈 (ja)    |        |               |                                     |       |              |
| The Fire Burns Again (wd:Q132175259)           | 火はまた燃える (ja)   | 火はまた燃える (ja)  |        |               |                                     |       |              |
| ...                                            | ...            | ...           | ...    | ...           | ...                                 | ...   | ...          |
| wd:Q133873268                                  | 小五郎の密会 (ja)    | 小五郎の密会 (ja)   |        |               | 2025-04-02T00:00:00Z (xsd:dateTime) |       |              |
| wd:Q133873269                                  | ウソつきは･･･ (ja)  | ウソつきは･･･ (ja) |        |               | 2025-04-09T00:00:00Z (xsd:dateTime) |       |              |
| wd:Q133873270                                  | 煙のように (ja)     | 煙のように (ja)    |        |               |                                     |       |              |
| wd:Q134599654                                  | 呼び出された男 (ja)   | 呼び出された男 (ja)  |        |               |                                     |       |              |
| wd:Q134700381                                  | 危険な再会 (ja)     | 危険な再会 (ja)    |        |               | 2025-06-04T00:00:00Z (xsd:dateTime) |       |              |

[Assistant] I'll now return the final SPARQL query and summarize the results.

[Tool] Stopped generation process